Introduction to imageio-ffmpeg

imageio-ffmpeg is a versatile library that provides a convenient interface to the powerful FFmpeg, allowing for comprehensive video reading and writing capabilities. This guide will introduce you to core APIs and offer practical examples for each.

Reading Video with imageio-ffmpeg

Read a video file and print basic information:

 import imageio_ffmpeg as ffmpeg
# Get the ffmpeg version print(ffmpeg.get_ffmpeg_version())
# Read a video file video_path = 'path_to_video.mp4' reader = ffmpeg.read_frames(video_path) for frame in reader:
    print(f"Read frame with shape: {frame.shape}")

Saving Video

Create a video file from an array of frames:

 import numpy as np
output_path = 'output_video.mp4' fps = 24 width, height = 640, 480
# Create dummy frames for the video frames = [np.random.randint(256, size=(height, width, 3), dtype=np.uint8) for _ in range(fps * 10)]
writer = ffmpeg.write_frames(output_path, fps=fps, size=(width, height)) for frame in frames:
    writer.write_frame(frame)
writer.close() 

Extracting Audio

Extract audio track from a video file:

 video_path = 'path_to_video.mp4'
# Extract audio audio_path = 'extracted_audio.wav' ffmpeg.extract_audio(input_video=video_path, output_audio=audio_path) 

Appending Videos

Append multiple video files into a single video:

 input_videos = ['video1.mp4', 'video2.mp4'] output_video = 'appended_video.mp4'
ffmpeg.concat_videos(input_videos, output_video) 

Resizing Video

Resize a video to specified dimensions:

 input_video = 'path_to_video.mp4' output_video = 'resized_video.mp4' width, height = 320, 240
ffmpeg.resize_video(input_video, output_video, width, height) 

Complete Application Example

Below is a complete application that reads a video, resizes it, extracts audio, and then combines the resized video with the extracted audio:

 import imageio_ffmpeg as ffmpeg import numpy as np
def process_video(input_video):
    # Read and resize video
    resized_video = 'resized_video.mp4'
    output_width, output_height = 320, 240
    ffmpeg.resize_video(input_video, resized_video, output_width, output_height)

    # Extract audio
    audio_file = 'audio.wav'
    ffmpeg.extract_audio(input_video=input_video, output_audio=audio_file)
    
    # Combine resized video with extracted audio
    output_combined = 'output_combined.mp4'
    ffmpeg.combine_audio_video(resized_video, audio_file, output_combined)

    print(f"Processed video saved as {output_combined}")

# Example usage process_video('path_to_video.mp4') 

With these APIs and the complete example application, you can take full advantage of the capabilities of `imageio-ffmpeg` for your video processing needs.

Hash: 48e5a31a6dc8b65768248ee6e68d3541f440a03f452dce4f08ae24e0258afcd8